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Jérôme Fink
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2020 – today
- 2024
- [j2]Pierre Poitier
, Jérôme Fink
Towards better transition modeling in recurrent neural networks: The case of sign language tokenization. Neurocomputing 567: 127018 (2024) - 2023
- [c6]Jérôme Fink, Mathieu De Coster, Joni Dambre, Benoît Frénay:
Trends and Challenges for Sign Language Recognition with Machine Learning. ESANN 2023 - [c5]Jérôme Fink, Pierre Poitier, Maxime André, Loup Meurice, Benoît Frénay, Anthony Cleve, Bruno Dumas, Laurence Meurant:
Sign Language-to-Text Dictionary with Lightweight Transformer Models. IJCAI 2023: 5968-5976 - 2022
- [c4]Pierre Poitier, Jérôme Fink, Benoît Frénay:
Towards Better Transition Modeling in Recurrent Neural Networks: the Case of Sign Language Tokenization. ESANN 2022 - 2021
- [j1]Anthony Simonofski, Jérôme Fink
Supporting policy-making with social media and e-participation platforms data: A policy analytics framework. Gov. Inf. Q. 38(3): 101590 (2021) - [c3]Jérôme Fink
LSFB-CONT and LSFB-ISOL: Two New Datasets for Vision-Based Sign Language Recognition. IJCNN 2021: 1-8 - 2020
- [c2]Jérôme Fink
Adapting Queries to Database Schema Changes in Hybrid Polystores. SCAM 2020: 127-131
2010 – 2019
- 2019
- [c1]Jérôme Fink, Anthony Cleve, Benoît Frénay:
Deep Learning Applied to Sign Language. BNAIC/BENELEARN 2019
Coauthor Index
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